Dual-condition diffusion model-based virtual sample augmentation method for fault diagnosis of train gearboxes

Diffusion models enable the generation of virtual fault samples, alleviating issues such as scarcity and imbalance in measured data and showing promising applications in intelligent fault diagnosis of train gearboxes. However, existing methods have two main limitations. First, they ignore correlatio...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	SHEN Zelin, WANG Biao, QIN Yong, CHENG Xiaoqing, WANG Zhipeng, WANG Li
Format:	Artigo
Sprache:	Chinês
Veröffentlicht:	Editorial Department of Electric Drive for Locomotives 2025-09-01
Schriftenreihe:	机车电传动
Schlagworte:	train gearbox fault diagnosis virtual sample augmentation dual-condition diffusion model time step optimization metro train artificial intelligence
Online-Zugang:	http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2025.05.002
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